Staff Data Engineer

Position Summary What youll do Position Summary What youll do Sam’s Club is on a mission for Savings Made Simple.

A division of Wal-Mart Stores Inc., we are the membership warehouse club solution for small business and everyday living.

Since 1983, we’ve worked to provide our members quality products at incredible values.

At Sam’s Club, everything we do is to serve our members.

Whether it’s offering them quality products at an incredible value or remodeling our clubs to improve their shopping experience, we keep our members at the heart of everything we do.

Do you have boundless energy and passion for engineering data used to solve dynamic problems that will shape the future of retail?

With the sheer scale of Sam’s Club Technologies environment comes the biggest of big data sets.

As a Sams Club Staff Data Engineer, you will dig into our mammoth scale of data to help unleash the power of retail data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on.

You will be responsible for contributing to an orchestration layer of complex data transformations, refining raw data from source into targeted, valuable data assets for consumption in a governed way.

You will partner with Data Scientists, Analysts, other engineers and business stakeholders to solve complex and exciting challenges so that we can build out capabilities that evolve the retail business model while making a positive impact on our customers’ lives.

You’ll make an impact by: Architecting, Designing, building, testing and deploying cutting edge solutions at scale, impacting millions of customers worldwide drive value from data Interacting with Sam’s Club engineering teams across geographies to leverage expertise and contribute to the tech community.

Engaging with Product Management and Business to drive the agenda, setting your priorities and delivering awesome product features to keep platform ahead of market scenarios.

Identifying the right open source tools to deliver product features by performing research, POC/Pilot and/or interacting with various open source forums Developing and/or making a Contribution to adding features that enable the adoption of data across Sam’s Club Deploying and monitoring products on Cloud platforms Developing and implementing the best-in-class monitoring processes to enable data applications to meet SLAs Guiding the team technically for end to end solution lifecycle.

You’ll sweep us off our feet if: You’re an inquisitive, out-of-the box thinker who’s continually on the lookout for opportunities to improve and innovate data systems and analytic solutions You have consistently high standards, your passion for quality is inherent in everything that you do You are a collaborative connector who builds bridges between teams and functions You evangelize an extremely high standard of code quality, system reliability, and performance You have a proven track record coding with at least one programming language (Java, Scala and/or Python) to write data pipeline and data processing layers You’re experienced in computing platforms and companion tools (e.g., Azure/GCP, SQL and NoSQL) You’re skilled in data modeling & data migration protocols You have 3 years of streaming expertise and leading teams building real time streaming pipeline, Spark streaming a plus You are knowledgeable in Data Productization, Data Lineage and Metadata Management.

The above information has been designed to indicate the general nature and level of work performed in the role.

It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.

The full Job Description can be made available as part of the hiring process.

About Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face.

That’s what we do at Walmart Global Tech.

We’re a team of 15,000 software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates.

To others, innovation looks like an app, service or some code, but Walmart has always been about people.

People are why we innovate, and people power our innovations.

Being human-led is our true disruption.

We’re virtual Working virtually this year has helped us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting.

Today, we are reimagining the tech workplace of the future by making a permanent transition to virtual work for most of our team.

Of course, being together in person is an important part of our culture and shared success.

We’ll collaborate in person at a regular cadence and with purpose.

Benefits & Perks: Beyond competitive pay, you can receive incentive awards for your performance.

Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Employer Walmart, Inc.

is an Equal Opportunity Employer – By Choice.

We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them.

That means understanding, respecting and valuing diversity
– unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.

Minimum Qualifications Outlined below are the required minimum qualifications for this position.

If none are listed, there are no minimum qualifications.

Option 1: Bachelor’s degree in Computer Science and 4 years experience in software engineering or related field.

Option 2: 6 years’ experience in software engineering or related field.

Option 3: Masters degree in Computer Science and 2 years experience in software engineering or related field.

3 years experience in data engineering, database engineering, business intelligence, or business analytics.

Preferred Qualifications Outlined below are the optional preferred qualifications for this position.

If none are listed, there are no preferred qualifications.

Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master’s degree in Computer Science or related field and 4 years experience in software engineering or related field Minimum Qualifications Outlined below are the required minimum qualifications for this position.

If none are listed, there are no minimum qualifications.

Option 1: Bachelor’s degree in Computer Science and 4 years experience in software engineering or related field.

Option 2: 6 years’ experience in software engineering or related field.

Option 3: Masters degree in Computer Science and 2 years experience in software engineering or related field.

3 years experience in data engineering, database engineering, business intelligence, or business analytics.

Preferred Qualifications Outlined below are the optional preferred qualifications for this position.

If none are listed, there are no preferred qualifications.

Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master’s degree in Computer Science or related field and 4 years experience in software engineering or related field